Senior Cloud Data Architect

Tredence Inc.; Bethesda (MD); On-site; USD 140,000 - 180,000; Full time

Job summary

A leading consulting firm is seeking a Senior Cloud Data Architect to lead technical strategy and architecture for multi-cloud environments. The ideal candidate will have extensive experience with AWS and Snowflake, strong stakeholder management skills, and the ability to deliver complex data solutions. This full-time role offers an opportunity to shape innovative data architectures and collaborate with high-level stakeholders.

Qualifications

• 12+ years of relevant experience in data solutions.
• 8+ years designing and implementing solutions on cloud platforms.
• Expertise in Snowflake with hands-on delivery.

Responsibilities

• Act as the Architectural Anchor for strategic initiatives.
• Design and implement multi-cloud environments.
• Provide guidance on best practices to development teams.

Skills

Cloud data architecture

Strategic leadership

Stakeholder management

Data governance

Technical documentation

Education

Bachelor's or master's degree in computer science

Tools

Snowflake

AWS

Power BI

Airflow

Kafka

SageMaker

Git

Job description

Overview

Role Overview: As a Senior Cloud Data Architect, you will be the Anchor Architect and Strategic Partner for a key account, leading end-to-end technical strategy and architecture for multi-cloud environments with a focus on AWS and Snowflake. This role demands exceptional stakeholder management skills, strategic thinking, and the ability to design and implement cutting-edge data solutions.

Responsibilities

• Strategic Leadership: Act as the Architectural Anchor and trusted advisor for the client, driving strategic initiatives across the account.
• Whiteboarding sessions and deck creation: Engage to communicate and refine strategies collaboratively with clients.
• Roadmap definition and execution: Define and execute project roadmaps, ensuring alignment with the client\'s business goals and technical vision.

• Technical Architecture and Implementation: Architect and implement multi-cloud environments (AWS primary, Azure secondary) with expertise in cloud challenges and best practices.
• Design and deliver at least 3 end-to-end data solutions on Snowflake with advanced dimensional modeling.
• Lead the implementation of BI/Reporting solutions (minimum 3 projects) using Power BI.
• Build robust solutions leveraging tools such as Airflow, Nifi, Kafka, and SageMaker while ensuring optimal data automation and orchestration.
• Integrate DevOps processes including CI/CD, automation, and security protocols to ensure efficient delivery pipelines.
• Establish and maintain standards for Data Governance, Observability, and Quality, including adherence to ARBs.

• Stakeholder and Team Collaboration: Collaborate effectively with senior stakeholders, technical teams, and business leaders to align architecture and strategies.
• Guidance and best practices: Provide guidance to development teams and end-users on best practices, housekeeping, and technical solutions.
• ML Ops and advanced analytics: Mentor teams in the adoption of modern practices such as ML Ops and advanced analytics.

• Documentation and Communication: Develop comprehensive technical documentation for solutions and best practices.
• Prepare proposals, evaluations, case studies, RFPs, and RFIs to support business development efforts.

• Innovation and Optimization: Identify and implement optimizations in architecture, scalability, and cost-efficiency.
• Evaluate and recommend emerging technologies to enhance client value and drive innovation.

Required Skills and Qualifications

• Experience: Minimum 12+ years of relevant experience, with 8+ years designing and implementing data solutions on cloud platforms (AWS preferred, Azure, or GCP).
• Education: Bachelor\'s or master\'s degree in computer science or a related field.
• Expertise in Snowflake is essential, with hands-on experience delivering at least 3 solutions.
• Strong knowledge of data modeling (dimensional modeling is a must).
• Working experience with tools like Airflow, Nifi, S3, SFTP, Kafka, SageMaker, and EMR.
• Familiarity with DevOps tools such as Git, Harness, and EKS.
• Proven ability to implement BI solutions using Power BI (minimum 3 implementations).
• Knowledge and experience working with ML models and ML Ops.
• Strong communication and interpersonal skills, with the ability to manage senior stakeholders effectively.
• Demonstrated experience in Data Governance, Observability, and Quality standards.
• Ability to lead cross-functional teams and set technical visions while balancing business objectives.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting

Industries

• Business Consulting and Services